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How can labeling my own dataset #129

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kerolos opened this issue Feb 16, 2018 · 4 comments
Open

How can labeling my own dataset #129

kerolos opened this issue Feb 16, 2018 · 4 comments

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@kerolos
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kerolos commented Feb 16, 2018

How can I label a customized dataset to be able to use in Caffe_segnet?
Which tool or program I should use to create my own label dataset with the same format as dataset used in this tutorial: 'http://mi.eng.cam.ac.uk/projects/segnet/tutorial.html'.
I found that it is Gray images had been created to train the model (trainannot), furthermore, the Softmax layer is created by class_weighting parameters for each class, which should represent the label in this folder trainannot.
My question is, how can i label my own dataset to train the bixel-wise classification ?

softmax layer in this file 'segnet_train.prototxt'
layer {
name: "loss"
type: "SoftmaxWithLoss"
bottom: "conv1_1_D"
bottom: "label"
top: "loss"
softmax_param {engine: CAFFE}
loss_param: {
weight_by_label_freqs: true
ignore_label: 11
class_weighting: 0.2595
class_weighting: 0.1826
class_weighting: 4.5640
class_weighting: 0.1417
class_weighting: 0.9051
class_weighting: 0.3826
class_weighting: 9.6446
class_weighting: 1.8418
class_weighting: 0.6823
class_weighting: 6.2478
class_weighting: 7.3614
}
}

@xhy3054
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xhy3054 commented Apr 2, 2018

did you solve it?

@ArunJ1
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ArunJ1 commented Feb 8, 2019

I have same issue

Somebody pls help

@ArunJ1
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ArunJ1 commented Feb 13, 2019

I also face same problem...Any help???
by Arun

@ArunJ1
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ArunJ1 commented Feb 13, 2019

I have same issue

Somebody pls help

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3 participants